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科研机构
北京航空航天大学 [4]
华南理工大学 [2]
西安交通大学 [1]
山东大学 [1]
湖南大学 [1]
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期刊论文 [8]
会议论文 [1]
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2018 [1]
2016 [1]
2015 [4]
2014 [3]
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浏览/检索结果:
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Cognitive seismic data modelling based successive differential evolution algorithm for effective exploration of oil-gas reservoirs
期刊论文
Journal of Petroleum Science and Engineering, 2018, 卷号: 171, 页码: 1159-1170
作者:
Zhao, Jing
;
Ren, Jinchang
;
Zabalza, Jaime
;
Gao, Jinghuai
;
Xu, Xinying
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/11/26
Differential Evolution
Differential evolution algorithms
High dimensional data
Hydrocarbon reservoir
Reservoir characterization
Vertical seismic profiles
Visco-elastic mediums
VSP data
Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging (EI收录)
期刊论文
Neurocomputing, 2016, 卷号: 185, 页码: 1-10
作者:
Zabalza, Jaime[1]
;
Ren, Jinchang[1]
;
Zheng, Jiangbin[2]
;
Zhao, Huimin[3]
;
Qing, Chunmei[4]
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/04/24
Abstracting
Classification (of information)
Extraction
Feature extraction
Learning systems
Remote sensing
Spectroscopy
Visible hyperspectral imaging for lamb quality prediction (EI收录)
期刊论文
Technisches Messen, 2015, 卷号: 82, 页码: 643-652
作者:
Qiao, Tong[1]
;
Ren, Jinchang[1]
;
Yang, Zhijing[2]
;
Qing, Chunmei[3]
;
Zabalza, Jaime[1]
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/04/25
Clustering algorithms
Forecasting
Infrared devices
Near infrared spectroscopy
Quality control
Spectroscopy
Spectrum analysis
Support vector machines
Fast Implementation of Singular Spectrum Analysis for Effective Feature Extraction in Hyperspectral Imaging
会议论文
6th Workshop on Hyperspectral Image and Signal Processing (WHISPERS), Lausanne, SWITZERLAND, 2015-06-01
作者:
Zabalza, Jaime
;
Ren, Jinchang
;
Wang, Zheng
;
Zhao, Huimin
;
Wang, Jun
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/01/06
Data classification
fast singular spectrum analysis (F-SSA)
feature extraction
hyperspectral imaging (HSI)
support vector machine (SVM)
Novel two-dimensional singular spectrum analysis for effective feature extraction and data classification in hyperspectral imaging
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2015, 卷号: Vol.53 No.8, 页码: 4418-4433
作者:
Zabalza, Jaime
;
Ren, Jinchang
;
Zheng, Jiangbin
;
Han, Junwei
;
Zhao, Huimin
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/31
Fast Implementation of Singular Spectrum Analysis for Effective Feature Extraction in Hyperspectral Imaging
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 卷号: 8, 页码: 2845-2853
作者:
Zabalza, Jaime
;
Ren, Jinchang
;
Wang, Zheng
;
Zhao, Huimin
;
Wang, Jun
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Data classification
fast singular spectrum analysis (F-SSA)
feature extraction
hyperspectral imaging (HSI)
support vector machine (SVM)
Novel Folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2014, 卷号: 93, 页码: 112-122
作者:
Zabalza, Jaime
;
Ren, Jinchang
;
Yang, Mingqiang
;
Zhang, Yi
;
Wang, Jun
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/17
Folded Principal Component Analysis (F-PCA)
Feature extraction
Data
reduction
Hyperspectral Imaging (HSI)
Support Vector Machine (SVM)
Remote sensing
Novel Folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2014, 卷号: 93, 页码: 112-122
作者:
Zabalza, Jaime
;
Ren, Jinchang
;
Yang, Mingqiang
;
Zhang, Yi
;
Wang, Jun
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/01/06
Folded Principal Component Analysis (F-PCA)
Feature extraction
Data reduction
Hyperspectral Imaging (HSI)
Support Vector Machine (SVM)
Remote sensing
Singular Spectrum Analysis for Effective Feature Extraction in Hyperspectral Imaging
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 卷号: 11, 页码: 1886-1890
作者:
Zabalza, Jaime
;
Ren, Jinchang
;
Wang, Zheng
;
Marshall, Stephen
;
Wang, Jun
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/01/06
Data classification
feature extraction
hyperspectral imaging (HSI)
singular spectrum analysis (SSA)
support vector machine (SVM)
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